Patents by Inventor Rajesh Ray

Rajesh Ray has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Self-learning manufacturing using digital twins
    Patent number: 11868121
    Abstract: Systems, methods, and computer programming products for self-learning order dressing rules applied to manufacturing products in accordance with received product specifications. The translation from commercial characteristics to manufacturing characteristics of the product being manufactured are learned and adjusted to meet the specifications for quality required by the provided commercial characteristics. Reinforcement learning models learn from the quality characteristics of produced products by applying positive scores when the commercial to manufacturing characteristic translation is on-specification, otherwise a penalty is applied when an off-spec product is produced. Digital twins of manufacturing equipment, simulated in real time, provide insight and recommendations for achieving correct quality characteristics. Sensors in each device or within the surrounding environment help digital twins to measure operational performance and lifecycle of the manufacturing equipment against historical baselines.
    Type: Grant
    Filed: July 20, 2021
    Date of Patent: January 9, 2024
    Assignee: International Business Machines Corporation
    Inventors: Abhishek Kaul, Rajesh Ray, Seema Nagar, Pramod Vadayadiyil Raveendran
  • SELF-LEARNING MANUFACTURING USING DIGITAL TWINS
    Publication number: 20230022733
    Abstract: Systems, methods, and computer programming products for self-learning order dressing rules applied to manufacturing products in accordance with received product specifications. The translation from commercial characteristics to manufacturing characteristics of the product being manufactured are learned and adjusted to meet the specifications for quality required by the provided commercial characteristics. Reinforcement learning models learn from the quality characteristics of produced products by applying positive scores when the commercial to manufacturing characteristic translation is on-specification, otherwise a penalty is applied when an off-spec product is produced. Digital twins of manufacturing equipment, simulated in real time, provide insight and recommendations for achieving correct quality characteristics. Sensors in each device or within the surrounding environment help digital twins to measure operational performance and lifecycle of the manufacturing equipment against historical baselines.
    Type: Application
    Filed: July 20, 2021
    Publication date: January 26, 2023
    Inventors: Abhishek Kaul, Rajesh Ray, Seema Nagar, Pramod Vadayadiyil Raveendran